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About the Role

Rad AI is seeking a Technical Program Manager to own program delivery for Rad AI Reporting. This role involves driving the product roadmap with engineering and leading client integration and deployment programs within complex health-system environments. You will be responsible for end-to-end integration go-lives and technical troubleshooting of integration issues.

Responsibilities

• Coordinate delivery of new vendor integrations at scale by collaborating with deployment and engineering resources.
• Serve as the escalation and coordination point for integration issues during deployment, triaging and diagnosing HL7, FHIR, DICOM, and PACS/RIS/EHR integration problems and driving them to resolution.
• Coordinate security reviews and BAAs/data-use agreements for new integration partners.
• Build repeatable playbooks, runbooks, and KPI dashboards to improve integration speed, predictability, and measurability.
• Drive cross-functional execution of roadmap initiatives across the Reporting product line, partnering closely with engineering, design, implementations, and clinical teams.
• Manage program schedules, scope, and dependencies by identifying risks and developing mitigation strategies.
• Own release coordination, including QA, testing sign-off, and stakeholder readiness.
• Lead the rollout of major features, partnering with writing, implementation, and customer success teams on plans, training, and documentation.
• Own cross-functional communication for large reporting initiatives, keeping leadership, clinical stakeholders, and business teams informed.
• Drive quarterly planning cycles for the reporting team by facilitating the process and aligning stakeholders on priorities.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
• 6+ years as a Technical Program Manager in a software or healthcare-IT environment.
• Proven track record delivering complex, cross-functional programs from inception through launch.
• Demonstrated experience managing customer-facing integration and deployment programs, including health-system or enterprise go-lives.
• Excellent communication and presentation skills, with the ability to translate between technical and non-technical stakeholders.
• Strong analytical and pragmatic problem-solving skills with sound technical judgment.
• Experience building KPI frameworks and executive-ready reporting.
• Ability to independently read an interface spec, inspect a live message, and isolate integration issues.
• Working knowledge of HL7 v2 message structure.
• Comfortable with FHIR REST APIs, common resources, JSON/XML payloads, and API/auth errors.
• Working knowledge of DICOM objects, key tags, study/series/instance hierarchy, and PACS/RIS/MWL flow.
• Familiarity with EHR integration points and common integration breakages.
• Hands-on experience with interface engines like Mirth Connect, Rhapsody, or Cloverleaf.
• Comfortable reading application and interface logs, using API testing tools, inspecting network connectivity, and writing basic queries or scripts (SQL, light Python/shell).
• Understanding of radiology reporting and speech/dictation workflows.

Skills

• HL7 v2
• FHIR
• DICOM
• PACS/RIS/EHR integration
• Mirth Connect
• Rhapsody
• Cloverleaf
• API testing tools
• SQL
• Python
• Shell scripting
• Technical Program Management
• Integration diagnosis & troubleshooting
• Cross-functional execution
• Roadmap development
• Release coordination
• Stakeholder communication
• KPI framework development

Location

• US-Based

Work Type

• Full-Time

Experience Level

• 6+ years as a Technical Program Manager

Education Level

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend

About the Company

• Rad AI is transforming healthcare with AI-driven solutions in radiology, saving time, reducing burnout, and improving patient care.
• The company has secured over $140M in funding, with a valuation of $528M.
• Their AI is used by thousands of radiologists daily, supporting over one-third of radiology groups and healthcare systems in the U.S.
• Recognized as a promising healthcare AI company by CB Insights and AuntMinnie, ranked by Deloitte as the 19th fastest-growing company in North America, and named to CNBC’s Disruptor 50 list.
• The engineering and product organizations are growing quickly in a mission-driven, high-growth environment.
• The company prioritizes transparency, inclusion, and close collaboration.

Equal Opportunity

• Rad AI provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Qualified applicants with criminal histories will be considered in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.